Datasets:
Added metadata columns, v1.4.0
Browse files- README.md +3 -3
- loader.py +7 -1
- metadata.jsonl +0 -0
- subsets/de/metadata.jsonl +0 -0
- subsets/en/metadata.jsonl +0 -0
- subsets/es/metadata.jsonl +0 -0
- subsets/fr/metadata.jsonl +0 -0
README.md
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@@ -104,14 +104,14 @@ The evaluation is implemented in our [`alt-eval` package](https://github.com/aud
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from datasets import load_dataset
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from alt_eval import compute_metrics
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dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.
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# transcriptions: list[str]
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compute_metrics(dataset["text"], transcriptions, languages=dataset["language"])
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```
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For example, the following code can be used to evaluate Whisper:
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```python
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dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.
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dataset = dataset.cast_column("audio", datasets.Audio(decode=False)) # Get the raw audio file, let Whisper decode it
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model = whisper.load_model("tiny")
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```
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Alternatively, if you already have transcriptions, you might prefer to skip loading the `audio` column:
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```python
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dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.
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```
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## Citation
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from datasets import load_dataset
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from alt_eval import compute_metrics
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dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.4.0", split="test")
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# transcriptions: list[str]
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compute_metrics(dataset["text"], transcriptions, languages=dataset["language"])
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```
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For example, the following code can be used to evaluate Whisper:
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```python
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dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.4.0", split="test")
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dataset = dataset.cast_column("audio", datasets.Audio(decode=False)) # Get the raw audio file, let Whisper decode it
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model = whisper.load_model("tiny")
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```
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Alternatively, if you already have transcriptions, you might prefer to skip loading the `audio` column:
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```python
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dataset = load_dataset("jamendolyrics/jam-alt", revision="v1.4.0", split="test").remove_columns("audio")
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```
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## Citation
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loader.py
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@@ -8,7 +8,7 @@ from typing import Optional
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import datasets
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_VERSION = "1.
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_CITATION = """\
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@@ -83,6 +83,9 @@ class JamAltDataset(datasets.GeneratorBasedBuilder):
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}
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],
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"language": datasets.Value("string"),
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"license_type": datasets.Value("string"),
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}
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if self.config.with_audio:
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"text": text,
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"lines": lines,
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"language": _LANGUAGE_NAME_TO_CODE[meta["Language"]],
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"license_type": meta["LicenseType"],
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}
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if audio_path is not None:
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import datasets
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_VERSION = "1.4.0"
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_CITATION = """\
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}
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],
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"language": datasets.Value("string"),
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"artist": datasets.Value("string"),
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"title": datasets.Value("string"),
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"genre": datasets.Value("string"),
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"license_type": datasets.Value("string"),
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}
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if self.config.with_audio:
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"text": text,
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"lines": lines,
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"language": _LANGUAGE_NAME_TO_CODE[meta["Language"]],
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"artist": meta["Artist"],
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"title": meta["Title"],
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"genre": meta["Genre"],
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"license_type": meta["LicenseType"],
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}
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if audio_path is not None:
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metadata.jsonl
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subsets/de/metadata.jsonl
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subsets/en/metadata.jsonl
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subsets/es/metadata.jsonl
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subsets/fr/metadata.jsonl
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